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IEAAIE
2010
Springer
13 years 7 months ago
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...
Beatriz García Jiménez, Agapito Lede...
NIPS
2008
13 years 11 months ago
Learning with Consistency between Inductive Functions and Kernels
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
Haixuan Yang, Irwin King, Michael R. Lyu
DAGM
2007
Springer
14 years 3 months ago
Learning Robust Objective Functions with Application to Face Model Fitting
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...
Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Ber...
DEXAW
2005
IEEE
170views Database» more  DEXAW 2005»
14 years 3 months ago
Functional Annotation of Genes through Statistical Analysis of Biomedical Articles
One of the most elaborate and important tasks in biology is the functional annotation of genes. Biologists have developed standardized and structured vocabularies, called bio-onto...
Theodosios Theodosiou, Lefteris Angelis, Athena Va...
JAPLL
2008
121views more  JAPLL 2008»
13 years 9 months ago
Reasoning with prioritized information by iterative aggregation of distance functions
We introduce a general framework for reasoning with prioritized propositional data by aggregation of distance functions. Our formalism is based on a possible world semantics, wher...
Ofer Arieli